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Why Are Explainable AI Methods for Prostate Lesion Detection Rated Poorly by Radiologists?

Deep learning offers significant advancements in the accuracy of prostate identification and classification, underscoring its potential for clinical integration. However, the opacity of deep learning models presents interpretability challenges, critical for their acceptance and utility in medical di...

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Bibliografische Detailangaben
Hauptverfasser: Mehmet A. Gulum, Christopher M. Trombley, Merve Ozen, Enes Esen, Melih Aksamoglu, Mehmed Kantardzic
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-05-01
Schriftenreihe:Applied Sciences
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Online-Zugang:https://www.mdpi.com/2076-3417/14/11/4654
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